Dr. Tadeusz Malinski, Ohio University’s Marvin White Chair and Distinguished Professor of Chemistry & Biochemistry, presented a talk at the International Academy of Cardiology 2015 annual scientific session and world congress on heart disease in Vancouver, Canada.
Listen to Malinski discuss “Early Diagnosis of the Cardiovascular System–the Nanomedical Evaluation of Endothelial Dysfunction” in a Cardiology Online video.
Malinski’s studies focus on the early assessment of endothelial dysfunction and an early diagnosis of cardiovascular diseases. An increase in endothelial dysfunction directly correlates with an increased deficiency of the cardiovascular system which may lead to heart stoppage. A dysfunctional endothelium is characterized, among others, by the deficiency of bioavailable nitric oxide (NO) and excess production of cytotoxic superoxide (O2–) and peroxynitrite (ONOO–) – the main components of oxidative stress.
“The idea is to measure the endothelial dysfunction of a single cell for early diagnosis of the efficiency/deficiency of the entire cardiovascular system. This early diagnosis will provide prognosis of how many years the cardiovascular system will survive” he says.
“We are hoping it can be done as early as in human umbilical cells from very early of life that we can really prognose how this particular cardiovascular system will perform. This kind of diagnosis and prognosis will also give us the opportunity to design the system for early correction of the dysfunctional endothelial cells and correction of the proficiency of the cardiovascular system. We study how the gene variance of the nitric oxide enzyme correlates with NO production…” he says.
“The final output of our study will be a design of the diagnostic, nanomedical model which will include very, very small sensors, which we call nanosensors—they are about 1,000 times in diameter smaller than a single hair—which can be used to simultaneously monitor real concentrations of NO as well as the concentration of oxidative species in a single endothelial cell at the near real time of one millionth of a second.”
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